Udio
generalAI music creation and audio production
General LLM tools include frameworks, APIs, evaluation utilities, and infrastructure specifically built around large language models. This category covers 369 tools that help developers build, test, fine-tune, and run applications on top of LLMs, from embedding calculators to full model-serving platforms.
AI music creation and audio production
Turn text into memes with AI
Write SEO-optimized blog content with ease
Summarize articles, PDFs, and videos instantly
Generate quizzes from text, video, or audio content
Transcribe audio and video files to text
Translate text in images across 130+ languages
Software deals for entrepreneurs
AI content creation and SEO assistant
Turn documents into auto-graded quizzes
Rewrite text while preserving meaning
AI voice generator with 450+ voices
AI SEO content creation tool
Domain name listing on Spaceship marketplace
Rewrite AI text to sound more natural
French AI meeting transcription
Learn Japanese numbers, grammar, and conversational meaning
Rewrite text to be completely original
Create children's stories and therapeutic texts with AI
Shorten text while preserving meaning and voice
Persian keyboard, editor, and speech-to-text converter
AI notepad that executes your tasks
This is a technically focused category aimed primarily at developers and ML engineers. Tools like Cognee and UpTrain address retrieval-augmented generation (RAG) pipelines and model evaluation, while platforms like Dstack and PeriFlow handle compute infrastructure for training and inference. Embedding Similarity Calculator and similar utilities fill narrow but useful gaps in LLM development workflows. OpenAssistant and Cerebras-GPT represent open-source or open-weight models that developers can run or fine-tune directly. When comparing options, consider whether a tool is model-agnostic or tied to a specific provider, and whether it supports the models you are already using. Latency, throughput, and cost-per-token are the metrics that matter most for production workloads. Evaluation tools are often underinvested in early projects but become critical once you are shipping to users. Many tools here are open source with paid managed versions, while others are closed SaaS products with usage-based pricing.